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Permutation Entropy: New Ideas and Challenges
Version 1
: Received: 17 February 2017 / Approved: 17 February 2017 / Online: 17 February 2017 (16:41:32 CET)
A peer-reviewed article of this Preprint also exists.
Keller, K.; Mangold, T.; Stolz, I.; Werner, J. Permutation Entropy: New Ideas and Challenges. Entropy 2017, 19, 134, doi:10.3390/e19030134. Keller, K.; Mangold, T.; Stolz, I.; Werner, J. Permutation Entropy: New Ideas and Challenges. Entropy 2017, 19, 134, doi:10.3390/e19030134.
Abstract
During the last years some new variants of Permutation entropy have been introduced and applied to EEG analysis, among them a conditional variant and variants using some additional metric information or being based on entropies different from the Shannon entropy. In some situations it is not completely clear what kind of information the new measures and their algorithmic implementations provide. We discuss the new developments and illustrate them for EEG data.
Keywords
ordinal patterns; Permutation entropy; Approximate entropy;Sample entropy; Conditional entropy of ordinal patterns;Kolmogorov-Sinai entropy; classification
Subject
Computer Science and Mathematics, Computational Mathematics
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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